CNTK - CSE Developer Blog

Sequence Intent Classification Using Hierarchical Attention Networks

March 6, 2018 Mar 6, 2018 03/6/18

Olga Liakhovich

We analyze how Hierarchical Attention Neural Networks could be helpful with malware detection and classification scenarios, demonstrating the usefulness of this approach for generic sequence intent analysis. The novelty of our approach is in applying techniques that are used to discover structure in a narrative text to data that describes the behavior of executables.

Bird Detection with Azure ML Workbench

October 24, 2017 Oct 24, 2017 10/24/17

Olga Liakhovich

We demonstrate how to train Object Detection models using CNTK and Tensoflow DNN frameworks. Azure ML Workbench is used as the main training and model hosting infrastructure.

Using Object Detection for Complex Image Classification Scenarios

July 31, 2017 Jul 31, 2017 07/31/17

Ari Bornstein

An overview of different image classification approaches including Microsoft Azure Custom Vision Service and CNTK for various levels of classification complexity.

Classifying Leaks Using Cognitive Toolkit

May 10, 2017 May 10, 2017 05/10/17

Michael Lanzetta

We use Deep Learning to turn a painful and time-consuming leak-detection task for water and oil pipelines into a fast, painless process. Using Python and Fast Fourier Transforms, we turn audio sensor data into images, then use Convolutional Neural Networks to detect and classify pipeline anomalies.

Object Detection Using Microsoft CNTK

April 10, 2017 Apr 10, 2017 04/10/17

Nadav Bar

Creating an object detection model using Microsoft's open source deep learning framework CNTK and its implementation of Fast-RCNN.

End to End Object Detection in a Box

April 10, 2017 Apr 10, 2017 04/10/17

Ari Bornstein

Building a video tagging tool on top of CNTK to enable developers to create, review and iterate object detection models.